PostDoc Agentic AI and Predictive Technologies

This role provides a unique opportunity to shape how AI and autonomous scientific agents are applied across the pharmaceutical development lifecycle and to contribute to the future of digital and data-driven CMC development.

This position is limited for 2 years.

This position is part time eligible with 80 %.

This Position is limited for 2 years.

Note: To make it easier to find our job advertisements, we use the usual designation "postdoc". Of course, this advertisement is not only addressed to applicants directly after completing their doctorate, but to all qualified candidates.

Tasks & responsibilities

• One of your key responsibilities will be to develop predictive models and hybrid digital twins for pharmaceutical manufacturing processes.
• In regard to process understanding and optimization, you will apply mechanistic modeling, machine learning, and advanced analytics to support scale-up and technology transfer activities.
• Moreover, you will design and implement Agentic AI and multi-agent systems to support scientific decision-making, experimental planning, knowledge extraction, and process optimization.
• In addition, you will evaluate emerging AI technologies and identify opportunities for their application in pharmaceutical development.
• Furthermore, you will generate scientific insights that contribute to improved process performance, robustness, and efficiency across development and manufacturing.
• You will be a contact person for cross-functional collaboration with formulation scientists, process engineers, manufacturing experts, and data scientists in multidisciplinary project teams.

Requirements

• PhD in Pharmaceutical Engineering, Chemical Engineering, Process Systems Engineering, Data Science, Computer Science, or a related scientific discipline.
• Strong expertise in at least one of the following areas: pharmaceutical process development, mathematical modeling, machine learning and artificial intelligence, or process systems engineering.
• Experience with scientific programming languages such as Python and the ability to work with complex datasets and computational tools.
• Ability to collaborate effectively in multidisciplinary and international research teams.
• Fluent English communication skills; willingness to learn German.
• Knowledge of pharmaceutical manufacturing processes and familiarity with mechanistic, data-driven, or hybrid modeling approaches. Experience with Large Language Models (LLMs), Agentic AI, or multi-agent systems is considered an advantage.

With us, you can develop your own path in a company with a culture that knows our differences are our strengths - and break new ground in the drive to make millions of lives better.

Here, your development is our priority. Supporting you to build a career as part of a workplace that is independent, authentic and bold, while tackling challenging work in a respectful and friendly environment where everyone is valued and welcomed.

Alongside, you have access to programs and groups that ensure your health and wellbeing are looked after - as we make major investments to drive global accessibility to healthcare. By being part of a team that is constantly innovating, you'll be helping to transform lives for generations.

Want to learn more? Visit https://www.boehringer-ingelheim.com

Ready to contact us?

If you have any questions about the job posting or process - please contact our HR Direct Team, Tel: +49 (0) 6132 77-3330 or via mail:

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation

Posted Oct 30, 2026

Posted Oct 28, 2026